{"product_id":"9781787127487","title":"Python Data Analysis - Second Edition: Data manipulation and complex data analysis with Python","description":"\u003cp\u003e\u003cstrong\u003eLearn how to apply powerful data analysis techniques with popular open source Python modules\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eFind, manipulate, and analyze your data using the Python 3.5 libraries\u003c\/li\u003e \u003cli\u003ePerform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code\u003c\/li\u003e \u003cli\u003eAn easy-to-follow guide with realistic examples that are frequently used in real-world data analysis projects.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eData analysis techniques generate useful insights from small and large volumes of data. Python, with its strong set of libraries, has become a popular platform to conduct various data analysis and predictive modeling tasks.\u003c\/p\u003e\u003cp\u003eWith this book, you will learn how to process and manipulate data with Python for complex analysis and modeling. We learn data manipulations such as aggregating, concatenating, appending, cleaning, and handling missing values, with NumPy and Pandas. The book covers how to store and retrieve data from various data sources such as SQL and NoSQL, CSV fies, and HDF5. We learn how to visualize data using visualization libraries, along with advanced topics such as signal processing, time series, textual data analysis, machine learning, and social media analysis.\u003c\/p\u003e\u003cp\u003eThe book covers a plethora of Python modules, such as matplotlib, statsmodels, scikit-learn, and NLTK. It also covers using Python with external environments such as R, Fortran, C\/C++, and Boost libraries.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eInstall open source Python modules such NumPy, SciPy, Pandas, stasmodels, scikit-learn, theano, keras, and tensorflow on various platforms\u003c\/li\u003e \u003cli\u003ePrepare and clean your data, and use it for exploratory analysis\u003c\/li\u003e \u003cli\u003eManipulate your data with Pandas\u003c\/li\u003e \u003cli\u003eRetrieve and store your data from RDBMS, NoSQL, and distributed filesystems such as HDFS and HDF5\u003c\/li\u003e \u003cli\u003eVisualize your data with open source libraries such as matplotlib, bokeh, and plotly\u003c\/li\u003e \u003cli\u003eLearn about various machine learning methods such as supervised, unsupervised, probabilistic, and Bayesian\u003c\/li\u003e \u003cli\u003eUnderstand signal processing and time series data analysis\u003c\/li\u003e \u003cli\u003eGet to grips with graph processing and social network analysis\u003c\/li\u003e \u003c\/ul\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":46339456368881,"sku":"9781787127487","price":28.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/9781787127487_p0.jpg?v=1765257291","url":"https:\/\/shop.barnesandnoble.com\/products\/9781787127487","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}